2 citations · 3 across the 3 of their papers we have counts for
7 papers · 1 filter
Temporal discontinuity trials and randomization: success rates versus design strength
Brian Knaeble, Erich Kummerfeld
We consider the following comparative effectiveness scenario. There are two treatments for a particular medical condition: a randomized experiment has demonstrated mediocre effecti…
Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
Brian Knaeble, R. Mitchell Hughes, George Rudolph +2
It can be difficult to interpret a coefficient of an uncertain model. A slope coefficient of a regression model may change as covariates are added or removed from the model. In the…
Partial Identification of the Average Treatment Effect with Stochastic Counterfactuals and Discordant Twins
Brian Knaeble, Braxton Osting, Placede Tshiaba
We develop a novel approach to partially identify causal estimands, such as the average treatment effect (ATE), from observational data. To better satisfy the stable unit treatment…
Maximum Entropy Estimation of Heterogeneous Causal Effects
Brian Knaeble, Mehdi Hakim-Hashemi, Mark A. Abramson
For the purpose of causal inference we employ a stochastic model of the data generating process, utilizing individual propensity probabilities for the treatment, and also individua…
Odds are the sign is right
Brian Knaeble, Julian Chan
This article introduces a new condition based on odds ratios for sensitivity analysis. The analysis involves the average effect of a treatment or exposure on a response or outcome…
Adjustment with Three Continuous Variables
Brian Knaeble
Spurious association between X and Y may be due to a confounding variable W. Statisticians may adjust for W using a variety of techniques. This paper presents the results of simula…